Dynamic ensemble selection for multi-class classification with one-class classifiers

Author:

Krawczyk BartoszORCID,Galar MikelORCID,Woźniak Michał,Bustince HumbertoORCID,Herrera FranciscoORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference67 articles.

1. A review on the combination of binary classifiers in multiclass problems;Lorena;Artif. Intell. Rev.,2008

2. An overview of ensemble methods for binary classifiers in multi-class problems: experimental study on one-vs-one and one-vs-all schemes;Galar;Pattern Recognit.,2011

3. Single-layer learning revisited: A stepwise procedure for building and training a neural network;Knerr,1990

4. In defense of one-vs-all classification;Rifkin;J. Mach. Learn. Res.,2004

5. Multiclass from binary: expanding one-versus-all, one-versus-one and ECOC-based approaches;Rocha;IEEE Trans. Neural Netw. Learning Syst.,2014

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